EBMD: EFFICIENT BASED MEDICAL DATA SHARE IN DATABASE

Abstract

Cloud computing has transformed medical data storage by allowing healthcare institutions to outsource data management to external service providers. While this shift offers enhanced scalability and reduced infrastructure costs, it also introduces significant security and privacy concerns due to the storage of sensitive patient information on untrusted third-party servers. Traditional cryptographic techniques, such as searchable encryption, provide partial solutions but suffer from notable limitations, including vulnerability to leakage-based attacks, high computational overhead, and poor scalability in large-scale environments. To address these challenges, we propose EBMD, a novel outsourcing protocol that integrates an ordered additive secret sharing algorithm with a unique index permutation technique. ECMD ensures efficient and secure outsourcing of medical data while concealing both the data content and access patterns from potential adversaries. Our experimental evaluation demonstrates ECMD superior performance and scalability, with a single storage. Index Terms – EBMD, Medical Data Sharing, Healthcare Database, Data Privacy, Electronic Health Records, Secure Data Management, Cloud Database, Interoperability, Access Control, Cryptography.